A novel signal diagnosis technique using pseudo complex-valued autoregressive technique

Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2011) A novel signal diagnosis technique using pseudo complex-valued autoregressive technique. Expert Systems with Application, 38 (8). pp. 9063-9069. ISSN 0957-4174

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Abstract

In this paper, a new method of biomedical signal classification using complex- valued pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients were computed from the synaptic weights and coefficients of a split weight and activation function of a feedforward multilayer complex valued neural network. The performance of the proposed technique has been evaluated using PIMA Indian diabetes dataset with different complex-valued data normalization techniques and four different values of learning rate. An accuracy value of 81.28% has been obtained using this proposed technique.

Item Type:	Article (Journal)
Additional Information:	6472/1476
Uncontrolled Keywords:	Autoregressive model, Complex-valued data (CVD), Complex-valued neural network (CVNN), diabetes, Parametric models
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Abiodun Musa Aibinu
Date Deposited:	26 Aug 2011 09:17
Last Modified:	03 Oct 2011 14:59
URI:	http://irep.iium.edu.my/id/eprint/1476

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